
As an Amazon Associate and affiliate partner, Menrva Books earns from qualifying purchases. Learn more
Quantitative Methods for Decision Making Using Excel is a comprehensive guide that provides students with the key techniques and methodology they need in order to successfully engage with all aspects of quantitative analysis and decision making--both in their undergraduate studies and in the larger context of their future business environments.Organized in accordance with the enterprise functional structure where the decision making takes place, the textbook encompasses a broad range of functions, each of which is illustrated with clear examples using Microsoft Excel.The authors approach a range of methods, dividing them into major enterprise functions such as marketing, sales, business development, manufacturing, quality control, and finance. The authors illustrate how the methods can be applied in practice and translated into a working environment.Each chapter contains short case studies that exemplify the practical use of techniques. Exercises following key sections and concepts provide students with the opportunity to monitor their own progress using the solutions at the back of the book.The accompanying Companion Website (www.oup.com/uk/orc/bin/9780199694068) offers a variety of features:For students:- Numerical skills workbook with additional exercises, questions, and content- Data from the examples and exercises in the book- Online glossary of terms- Revision tips- Visual walkthrough videos covering the application of a range of quantitative methods- Appendices to the bookFor instructors:- Instructor's Manual containing solutions from the text and a guide to structuring lectures and seminars- PowerPoint presentations- Test Bank with questions for each chapter- Suggested assignment and examination questions
This text investigates how quantitative analytical techniques can be systematically applied to solve complex business problems using Microsoft Excel. Authors Branko Pecar and Glyn Davis leverage their academic and professional expertise to bridge the gap between theoretical statistical methods and practical enterprise application. By organizing content around functional business areas such as marketing, finance, and manufacturing, the authors provide a structured framework for students to translate data into actionable decision-making processes.
What You Will Find
Academic reviewers and educators frequently highlight this text as a foundational resource for undergraduate business students requiring a bridge between theory and software application. The prose is noted for its accessibility, making complex quantitative methods manageable for those transitioning into professional business environments.
Page Count:
608
Publication Date:
2013-03-01
Publisher:
Oxford University Press
ISBN-10:
0199694060
ISBN-13:
9780199694068
No comments yet. Be the first to share your thoughts!